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Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment

机译:互联车辆环境中的自动交叉路口协调方法

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In response to the need for developing coordinated schemes of autonomous vehicles (AVs) at an intersection. This paper presents a novel coordination method for intersection management in a connected vehicle environment. The road network is divided into three logical sections, namely, buffer area, core area and free driving area. In addition, a buffer-assignment mechanism is developed to cooperatively assign a specific crossing span for an individual AV and guide each AV to adjust its entry time and corresponding speed in the core area. A set-projection algorithm and a three-segment linear speed profile are employed to control the trajectories of the AVs in the buffer area. Furthermore, the assignment failure handling process and the crossing rule for human-driven vehicles are advanced to enhance the practicability and reliability of the buffer-assignment mechanism. The performance of the proposed method is evaluated by simulating various traffic conditions on an actual urban network. The simulation experiments and sensitivity analyses demonstrate that the proposed method can significantly reduce 24.2%-77.1% of travel delays, decrease almost 99% of number of stops and improve the sustainability of the traffic system by saving 22.1%-52% of fuel consumption.
机译:响应于在交叉路口开发自动驾驶汽车(AV)的协调方案的需求。本文提出了一种用于互联车辆环境中交叉口管理的新型协调方法。道路网分为三个逻辑部分,即缓冲区,核心区和自由行驶区。此外,开发了一种缓冲区分配机制,可以为单个AV协作分配特定的跨度,并引导每个AV调整其进入时间和在核心区域的相应速度。设置投影算法和三段线速度轮廓用于控制缓冲区中AV的轨迹。此外,推进了针对人类驾驶车辆的分配失败处理过程和穿越规则,以提高缓冲器分配机构的实用性和可靠性。通过在实际的城市网络上模拟各种交通状况来评估所提出方法的性能。仿真实验和灵敏度分析表明,该方法可以节省22.1%-52%的燃油消耗,从而显着减少24.2%-77.1%的旅行延误,减少近99%的停车次数,并提高交通系统的可持续性。

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